Similar to [1]}, [2]}, [3]}, we also utilize the dense vertex-pixel correspondence as weak supervision for better alignment with the human silhouettes.
For each vertex \(v\) , we calculate the center of its corresponding pixels \(M_V(v)\)  and define a UV correspondence loss \(\mathcal {L}_{uv}\)  as:
\(\mathcal {L}_{uv} =\sum _{v} {s_v}^z \Big \Vert v^{x,y} -\sum _{p \in M_V(v)} \frac{p}{|M_V(v)|} \Big \Vert _1 ,\) 
